4C Options Expected Move (Weekly + 0DTE)This indicator plots the calculated Expected Move for BOTH Weekly and Zero Dated Expiration (0DTE) Daily options, for a quick visual reference.
Please Note: This indicator is different from our original "4C Expected Move (Weekly Options)" indicator, as it now packages the ability to ALSO plot 0DTE options expected moves along with Weekly expected moves. Many other newer features have also been implemented.
Background Information
The Expected Move (EM) is the amount that a stock is predicted to increase or decrease from its current price, based on the current level of options pricing and implied volatility.
This range can be viewed as possible support and resistance, or, once price gets outside of the range, institutional hedging actions can accelerate the move in that direction.
It can be useful to know what the weekly EM range is for a stock to understand the probabilities of the overall distance, direction and volatility for the week.
About the Indicator
This indicator plots the calculated Expected Move for BOTH Weekly and Zero Dated Expiration (0DTE) options, for a quick visual reference.
For the weekly EM, the range is based on the Weekly close of the prior week.
For the Daily EM based on 0DTE options, the range is based on the Daily close of the prior day.
The indicator will automatically start a new weekly EM plot at the beginning of the week, and a new daily EM at the beginning of each day.
The EM values must be updated weekly and/or daily.
Features
Plots the EM for the week
Plots the EM for the day, for symbols that offer daily expiration options
Plots the 2 Standard Deviation EM for both the weekly and daily EM
Labels with calculated values are plotted near the levels for quick visual aid
Settings
Can toggle weekly EM on/off
Can toggle Daily EM on/off
Can toggle 2 Standard Deviation lines on/off
Can toggle labels for all EM on/off
Robust line settings
Can adjust label location left/right based on personal preference
Can enter symbol into settings as a reference
Handy instructions in the settings
How To Set Up The Indicator
To use this indicator you must have access to a broker with options data (not available on Tradingview).
Usually, you can look at the stock's option chain to find the weekly expected move.
You will have to do your own research to find where this information is displayed depending on your broker. You may also need to find the information elsewhere if your broker does not have this information.
You can also do your calculation of the EM using the following formula (please do your own research):
Expected Move = Option Price x Implied Volatility x Square Root of Time
See screenshot example below
This is the Thinkorswim platform's option chain, and the Implied Volatility % and the calculated EM are on the right side of the option chain.
The Expected Move is circled in blue. Use the +- number in parentheses, NOT the % value.
For the weekly EM, input the number that corresponds to the weekly option into the indicator. This must be done on a weekly basis, and It is typically best to use the EM for the next week expiration that is generated AFTER the Friday close and/or before the Monday open of the upcoming week.
For the daily EM, input the number that corresponds to the daily 0DTE option into the indicator. This must be done on a daily basis, and it is typically best to use the EM value for the 0DTE option that is generated the night before (after market close), or before the market opens for that 0DTE. .
Cerca negli script per "spx"
Bitcoin Relative Value IndicatorThis script retrieves the close price data for Bitcoin, DXY, CPIAUCSL, M2 money supply, and SPX and calculates the average of the four data points. It then calculates the relative value of Bitcoin by dividing the Bitcoin close price by the average of the four data points. The script determines whether the relative value is increasing or decreasing and plots the relative value on the chart using a green line if it's increasing and a red line if it's decreasing.
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making.
For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger.
While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant.
This script and its parameters was built for ES futures 15 min chart in mind.
This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes:
1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33
2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks)
Add this script to your alerts to no longer miss these set ups.
Anchored SMAThis is not your usual single moving average (SMA) indicator. It is an anchored SMA indicator. The anchored SMA does what other SMAs cannot--it stays at an anchored timeframe and presents that SMA relative to the timeframe you are in. For example, standard SMA indicators adjust to the timeframe you are viewing in your chart. So if you set it to a 20 day SMA while in the 1 Day timeframe, when you switch to the 5 minute timeframe, your 20 day SMA now becomes a 100 minute SMA indicator--that is it is only calculating the SMA for 20 ticks at 5 minutes each rather than holding the 20 day indicator at the higher timeframe. However, with the anchored SMA, the indicator would have held at the 20 day SMA while you were in the 5 minute timeframe.
The default setting is for the anchored SMA is the five day SMA. This can be adjusted in the settings to be any amount of ticks in any timeframe you choose from 1 minute to 1 week. The indicator does not hold accurately at timeframes outside of this range. The accompanying chart is the SPX in the 15 minute timeframe with the default anchored SMA settings in blue and the standard 200 tick SMA in black. Now, you could manually adjust the ticks to 130 SMA to fit the same blue line, but why do so when the anchored SMA does it for you?
This brings us to a very important note--this indicator is set to standard market hours at 6.5 hours per day. This means this indicator would not give the same results in markets with different hours, such as futures, FOREX, or Crypto markets. This only holds for equity markets. However, that is not to say it cannot be used in these other markets, it's that it wouldn't be the same result. Anyway, enjoy!
Index Value RainbowThis indicator is used to estimate Index valuation based on each countries base money supply M0. The chart will compare how the index value will move alongside with base money supply for comparison study. The chart presented here is just a relative comparison with some scaling and shifting so it doesn't refers to any real measurement. However it can be used to track the index whether it's too cheap or too expensive in relative to money supply available in the market.
- The gray line represent the money supply M0
- The rainbow above the gray line represent the multiplication factors from 1x, 2x, ..., 10x
- The rainbow below the gray line represent the division factors from 0.8x, 0.6x, ..., 0.2x
This indicator can only be used with specific indices mentioned below. Currently can be used to estimate the value of largest indices by market cap:
- US Index - based on Fed Balance Sheet (SPX, NDX, DJI, RUI, RUT, RUA, ES1!, NQ1!, YM1!, RTY1!)
- EU Index - based on M1 Money Supply (N100, EU500)
- JP Index - based on M0 Money Supply (NI225, NKY)
- CN Index - based on M0 Money Supply (000001, 399001)
- HK Index - based on M0 Money Supply (HSI)
- SG Index - based on M0 Money Supply (STI)
- CA Index - based on M0 Money Supply (TSX)
- AU Index - based on M0 Money Supply (ASX200, AUS200)
- ID Index - based on M0 Money Supply (COMPOSITE)
Check other script to value stock and index:
- Stock Value Rainbow: script to value stock based on book value, earning, dividend and cash flow
- Index Value Rainbow: script to value index based on fed balance sheet and base money supply
- Gold Value Rainbow: script to value gold based on global money supply
- Stock Value US: script to check US stock value
- Stock Value EU: script to check EU stock value
- Stock Value JP: script to check JP stock value
- Stock Value CN: script to check CN stock value
Failed Breakdown Detection'Failed Breakdowns' are a popular set up for long entries.
In short, the set up requires:
1) A significant low is made ('initial low')
2) Initial low is undercut with a new low
3) Price action then 'reclaims' the initial low by moving +8-10 points from the initial low
This script aims at detecting such set ups. It was coded with the ES Futures 15 minute chart in mind but may be useful on other instruments and time frames.
Business Logic:
1) Uses pivot lows to detect 'significant' initial lows
2) Uses amplitude threshold to detect a new low beneath the initial low; used /u/ben_zen script for this
3) Looks for a valid reclaim - a green candle that occurs within 10 bars of the new low
4) Price must reclaim at least 8 points for the set up to be valid
5) If a signal is detected, the initial low value (pivot low) is stored in array that prevents duplicate signals from being generated.
6) FBD Signal is plotted on the chart with "X"
7) Pivot low detection is plotted on the chart with "P" and a label
8) New lows are plotted on the chart with a blue triangle
Notes:
User input
- My preference is to use the defaults as is, but as always feel free to experiment
- Can modify pivot length but in my experience 10/10 work best for pivot lows
- New low detection - 55 bars and 0.05 amplitude work well based on visual checks of signals
- Can modify the number of points needed to reclaim a low, and the # of bars limit under which this must occur.
Alerts:
- Alerts are available for detection of new lows and detection of failed breakdowns
- Alerts are also available for these signals but only during 7:30PM-4PM EST - 'prime time' US trading hours
Limitations:
- Current version of the script only compares new lows to the most recent pivot low, does not look at anything prior to that
- Best used as a discretionary signal
Visit /u/ben_zen's Profile:
www.tradingview.com
Profile Link www.tradingview.com
Recession Warning Traffic LightThis is an indicator that uses 6 different metrics to determine the combined probability of a recession and compares the high probability warning periods against actual historical periods of recession.
GREEN tells us that the referenced recession indicators are not exhibiting any warning. Observe the long stretches of “all-green” in between recessionary periods in the chart above.
RED will show a full-on warning level for that particular recession indicator, signaling that monitoring of this sector is clearly showing a problem – which has in the past, reliably exhibited itself as a forewarning of recessions.
Adding green and red together can help determine a combined probability of recession.
IMPORTANT: Your chart should be on 1d and set to SPX , DJI ,or NDQ indices
Precious metals: This indicator calculates the relative prices of Gold & rhodium. Gold is a flight-to-quality asset. Rhodium is the rarest of precious industrial metals and prices spike when the economy is heating up. In front of a recession, the upper relative movement of rhodium precedes gold.
Stock markets: This indicator compares closing prices to growth rate curves of the SPX. This indication is the noisiest but tells us very well when the recession has ended. Stock market indices, which respond to “smart money” moving out of markets when the other indicators begin to warn of recession, or when markets become overheated and rise to historically unsustainable levels.
Yield curve: This indicator compares the 3m & 10y treasuries and detects yield curve inversions. Interest rates are controlled by the Federal Reserve and by the purchasers in the Federal Treasury auction markets, which together create the treasury yield curve. This inversion is the most reliable recession indicator. These happen during a flight to quality.
Federal Reserve: This indicator measures GDP and detects contraction which is technically a recession. This is usually one of the last indicators to enter a Warning state, and it could be 6 months delayed simply confirming what may have already been projected.
Money Supply. This indicator measures the M2 money supply, which typically grows about 1% per calendar quarter. When this shrinks, it's tapping the brakes on the economy. This can also lead to yield curve inversion. This is also a measure of inflation and its effects on the aggregate money supply (liquid capital) available for short-term economic activity, or which can be directed into the purchase of long-term, less liquid assets.
Leading Economic factors: There is a whole basket of leading economic indicators that, as collections, reflect overall growth or contraction of economic activity. These indicators include measures of level and growth in productivity, employment, housing, consumer confidence, industrial purchasing confidence, and much more. These indicators may or may not be detached from the broader economy, and often provide up to 6 months of foresight. For more information please visit www.conference-board.org
Actual Recession: Central Bank indicators are published by the Federal Reserve and reflect their own analysis of national and regional economic health, as well as their calculations of the likelihood of a recession. The Federal Reserve has a recession ticker which is used to plot periods of actual recessions on this indicator for comparison.
Stock Relative Strength Power IndexAs always, this is not financial advice and use at your own risk. Trading is risky and can cost you significant sums of money if you are not careful. Make sure you always have a proper entry and exit plan that includes defining your risk before you enter a trade.
This idea recently came out of some discussions I stumbled across in a trading group I am a part of regarding Relative Strength and Relative Weakness (shortened to RS and RW from here on out). The whole mechanism behind this trading system is to filter out underperforming securities relative to the current market direction to be in only the strongest or weakest stocks when the market is currently experiencing a bullish or bearish cycle. The idea behind this is there is no point in parking your money into a stock that is treading water or even going down if the market is making strong moves upwards. At that point, you are at worst losing money, and at best trading equal to the index/ETF, in which case the argument is why are you not just trading the index/ETF instead? RS or RW will filter out these sector laggards and allow you to position yourself into strong (or the strongest) stocks at any given time to help improve portfolio performance. Further, not only does it protect your position should the market shift against you briefly, it also often sees exceptional performance in the same cycle. For example, if $SPY makes a 5% move over the course of a month, a stock with RS/RW may make a 10% move, or more, allowing you to see increased profit potential.
RS/RW is based on the idea of performance, that is the raw percent change of a security over a given time period relative to a benchmark. This benchmark is often the S&P500 (ES/SPX/SPY and their derivatives). I have to stress that this is not beta, which measures the volatility of a stock over a given period (i.e. if $SPY moves $1, $NVDA will often move $1.74). This is a measurement of the market (i.e. $SPY) has moved 1% over the course of a day, $NVDA has moved 8% over the course of the day. This is very often used as a signal of institutional interest as apart from some very unique moments, retail traders cannot and will not provide enough market pressure to move a market outside of a stock's normal trading range, nor will they outperform the sector or market as a whole consistently over time without some big money to make them move. The problem with running strict performance analysis (i.e. % change from period T ago to period T + n at present) is that while it gives us a baseline of how much the stock has moved, it doesn't overall mean much. For instance, if a $100 stock has moved 5% today, but has been experiencing a period of increased volatility and it's Average True Range (ATR) (the amount a stock will move over X number of periods, on average) is $7, performance seems impressive but is actually generally fairly weak to what the stock has been doing recently. Conversely, if we take a second stock, this time worth $20, and it too has moved 5% in one day but has an ATR of only $0.25, that stock has made an exceptional move and we want to be part of that.
Here, I have created an indicator called the Stock Relative Strength Power Index. This takes the stock's rate of change (ROC) (the % move it has made over X number of periods), the stock's normalized ATR (the ATR represented as a percentage instead of a raw value), and compares these to one another to get the "Power Rating": a representation of the true strength of a stock over X number of periods. The indicator does two things. First, the raw ROC is divided by the stock's normalized ATR to assess whether the stock is moving outside of its normal range of variation or not. Second, since we are interested in trading only stocks with exceptional RS/RW to the market, I have also applied this same calculation to the S&P500 ($SPY) and the various SPDR sector indexes. These comparisons allow for a rapid and accurate assessment of the true strength of a stock at any given time on any given time frame. To cycle back above to our examples, the $100 stock has a Power Rating of only 0.71 (i.e. it is trading less than its current average), while our $20 stock has a Power Rating of 5. If we then compare these to both the market as a whole and the sector that the stock is a part of, we get a much clearer indication of the true buying or selling pressure imposed on the stock at any given time.
Use:
The indicator has 3 lines. The blue line is the security of interest, the red line is the market baseline (i.e. the sector ETF $SPY), and the white line is the sector index. I have given an example above on the semiconductor/tech stock $NVDA on a 30min timeframe. You can see that since the start of 2023, $NVDA has generally been strong to the market and its own sector since the blue line is greater than both the red and white lines over many days. This would have provided some nice day trading opportunities, or even some nice short term swing trades. The values themselves are generally meaningless outside of either the 1 or -1 value lines. All that matters is that the current ticker is surpassing both the market and the sector while being > 1.0 for a long trade or less than -1.0 for a short trade. However, I must stress this indicator gives no trade signals on its own, it is purely a confirmation indicator. An example of a trade would be if you had a trade signal given by either an indicator or by price action suggesting to buy some $NVDA for a trade to the upside, the Power Rating indicator would confirm this by showing if $NVDA was actually showing true strength by being both greater than 1 (the cutoff for it surpassing its ATR) and being above both the red and white lines. Further, you can see $NVDA has been stronger than the market when using the comparison function as well, but the has fluxed in and out of strength intraday when using the actual indicator vs. the static performance ratio chart (plotted as line graphs on the chart).
I have made it possible to change the colour of the plots and the line levels. The adjustment of the line levels gives the trader the flexibility to change their target breakout level (i.e. only trading stocks that have a Power Rating > 2, for example, meaning they are trading at least 2X their normal trading range). The third security comparison is flexible and can be used to compare to the sector ETF (initial intention) or it can be used to compare to other tickers within the same sector, for example. The trader should select the appropriate ETF for the given security of interest to avoid false confirmation if they want to use an ETF as their third input. The proper sector should be readily available on most online websites and accessible in a matter of seconds meaning that the delay is minimal, at worst. If a trader wishes to add additional functionality, such as a crypto trader using BTCUSD as the benchmark instead of $SPY, I encourage them to copy and paste this script and modify as needed since I have made this open source.
This indicator works on all timeframes. The lookback period can be changed, so a day trader who may use a 5min chart (and use a period of 12 to get the hourly Power Rating) will find this equally useful as someone who may be a core trader who wants to look at the performance over the course of years and may use a 60 period on a monthly chart.
Happy trading and I hope this helps!
Relative Performance Dashboard v. 2This is a smaller and cleaner version of my previous Relative Performance table. It looks at the rate of change over 1M, 3M, 6M, 1YR & YTD and displays those for the current chart's ticker vs. an index/ticker of your choosing (SPX is default). I also have some fields for the ADR of the displayed chart, how far away the displayed chart is from 52-week highs, and a single number that compares the average relative strength of the displayed chart vs. the index. The way this average calculates is customizable by the user.
I like using this table next to an Earnings/Sales/Volume table that already exists by another user in the same pane and I designed this one so it can look just like that one to give a great view of the both fundamental and technical strength of your ticker in the same pane.
Keeping fundamental data independent from performance data allows you to still be able to see performance on things without fundamental data (i.e. ETFs, Indices, Crypto, etc.) as any script that uses fundamental data will not display when a chart that does not have fundamental data is displayed.
Global Money Supply USD-AdjustedGlobal Money Supply Aggregates
- US, China, EU, Japan, UK
- Korea, India, Canada, HK, Australia
- Taiwan, Brazil, Swiss, Russia, Mexico
- Thailand, Indonesia, Saudi, Singapore, Vietnam
Unfortunately, TV Pine can only take in 40 tickers, Each country has Money Supply Data adjusted against its FX to USD.
The formula in TV only can contain 10 tickers. So would recommend doing it up yourself on the first big 5 countries,
Anyway US and China constitute close to 50% of the global money supply.
However, one can argue whether money supply data (broad money) is valid nowadays. But I would bring up that this is just for comparison and trend purposes. Yes, M3 was removed from the US Fed data releases in end-2005.
Aggregating all of the above tickers yield me around 120tn of money supply, USD-adjusted.
There's pretty much other countries that should be included but due to the lack of data and small size of the country, it is omitted.
Examples:
- Heavily Sanctioned: Iran (400-500bn) and Iraq (200-300bn)
- No Data/Bad Data: Algeria (100bn), Bangladesh (110bn)
- Fallen Angels: Venezuela (100bn?), Argentina (120bn)
- 400-500bn club: Israel, Turkey, Poland, Sweden, Ireland, UAE, Msia, Chile
- 200-300bn club: Norway, Czech, Philippines, S.Africa, New Zealand, Egypt, Denmark, Qatar
- 100bn club: Colombia, Lebanon, Pakistan, Morocco, Romania, Hungary, Nigeria, Kuwait
- GDP 1bn club: Peru, Kazakhstan, Angola, Sudan, Ukraine, Ecuador
All these could add up to 10-15tn money supply, but with currencies with bad adoption on some. End of the day, we still living in a dollarised world, with the big 5 nations taking up to 80% of the officially published money supply. The unfortunate issue is that the money supply data isn't that forward-looking. A simple linear extrapolation of historical 3-month rolling average for next month estimates can be decent, with possibility of manual meddling to add adjustments on huge macro-events eg QE infinity.
Perhaps, additional tweaking would be inflation-adjusting this. Against SPX, some housing index, crude oil, gold.
howmuch.net
Price Distance RatioThis study plots the ratio between current price and the price N days ago.
With N input that is configurable, users can find optimal long/short entries when price is in an established trend and price has diverge far from a given local peak or all time high.
With many years of stock trading the analysis indicates a connection between the distance of price and subsequent returns.
Portfolios of stocks with lower price to local highes ratios generally underperformed portfolios of stocks with higher prices to peaks reached similar N days ago.
The highest returns to previous peak are recorded when buying at the biggest dip.
For example, the purchase at 20% drawdown could generate 25% when price returns to the peak. The purchase at 50% drawdown could generate bigger, i.e. 100% return, when price returns to the peak. And the purchase at 90% drawdown could generate much bigger, i.e. 900% return, in a case the price returns to the peak.
However, buying very far below local peaks on almost all holding periods produces lower CAGR returns because of "timing adjustment". In simple words, typically the drawdown takes less time vs. further recovery.
For example:
👉 The largest BTC drawdown in 2013-2015 took 410 days (Peak-to-Valley) . And the recovery of BTC to new highs took 771 days (Valley-to-Peak) after that.
👉 The 3rd longest drawdown in BTC took 363 days (observed from December 17, 2017 to December 15, 2018). And further recovery in BTC to its new high took almost two years - 716 days .
👉The 4th longest drawdown in BTC took 162 days (observed from June 08, 2011 to November 17, 2011). And further recovery in BTC to its new high took more than a year - 469 days .
The concept of this study could recognizes at least 4 different modes of action.
👉 In a clearly established upward trend traders should be buying (following the trend) when Ratio is above 100% and reducing the size when Ratio turns below 100%.
👉 Conversely, in a clearly established downward trend traders should be shorted when Ratio is below 100% and covering when the Ratio turns back to 100%.
👉 In a sideways movement traders are advised to wait carefully if the Ratio near 100% for a long time, and take a position the trend is clear.
👉 Chartists can analyze the dynamic of the indicator - both in terms of trends and overall level. For example as it shown at the chart.
The understading of the study and rules of "timing adjustments" could genarate the awesome opportunities for stock options traders also, with strategies of selling uncovered call options and vertical call spreads.
// Many thanks to @HPotter and @Wheeelman wizards for their continious support and assistance.
True Trend Average BandsThis is the indicator I am most proud of. After reading Glenn Neely's book "Mastering Eliott Waves" / "Neowave" and chatting with @timwest who got acknowledged by Neely, we came up with the idea of an moving average which does calculate the real average price since a trend started. Addionally I adapted a method from Neely Neowave and Tim Wests TimeAtMode to not force a timeframe on a chart but instead let the charts data decide which timeframe to use, to then calculate the real average price since the trend started.
It took me a while to get this right and coded, so take a moment and dive deeper and you might learn something new.
We assume that the price is in multiple trends on multiple timeframes, this is caused by short term traders, long term traders and investors who trade on different timeframes. To find out in which timeframe the important trends are, we have to look out for significant lows and highs. Then we change the timeframe in the chart to a value so that we have 10 to 20 bars since the significant low/high. While new bars are printed, and we reach more than 20 bars, we have to switch to a higher timeframe so we have 10 to 20 bars again. In the chart you see two significant trends: a downtrend on the 3 week timeframe and an uptrend from the 2 month timeframe. Based on the logic I have described, these are the two important timeframes to watch right now for the spx (there is another uptrend in the yearly chart, which is not shown here).
Now that we understand how to find the important timeframes, let's look what the magic in this script is that tells us the real average price since a trend started.
I developed a new type of moving average, which includes only the prices since a trend started. The difference to the regular sma is that it will not include prices which happened before the significant low or high happened. For example, if a top happened in a market 10 days ago, the regular sma20 would be calculated by 10 bars which happened before the top and 10 bars which happened after the top. If we want to know the average price of the last 10 bars we manually have to change the ma20 to the ma10 which is annoying manual work, additionally even if we use the ma10 in this case, and we look at yesterday's bar the ma10 will include 9 bars from after the top and one bar before the top, so the ma10 would only show the real average price for the current bar which is not what we want.
To come up with a solution to this problem, the True Trend Average searches for the lowest/highest bar in a given period (20 bars). Then starts to calculate the average value since the low/high. For example: if the price reaches a new 20 day high and then trades below it, the day of the high will be the sma1, the day after it's the sma2, ... up to the maximum look back length.
This way, we always know what the average price would have been if someone sold/bought a little bit every bar of his investment since the high/low.
Why is this even important? Let's assume we missed selling the top or buying the low, and think it would have been at least better to buy/sell a little bit since the new trend started. Once the price reaches the true trend average again, we can buy/sell, and it would be as good as selling/buying a little bit every day. We find prices to buy the dip and sell the bounce, which are as good as scaling in/out.
There is a lot more we can learn from these price levels but I think it is better to let you figure out yourself what you can learn from the information given by this indicator. Think about how market participants who accumulate or distribute feel when prices are above or below certain levels.
Now that we understand this new type of moving average, let's look into the lines we see in the chart:
The upper red band line shows the true trend average high price since the last significant top within 20 bars.
The lower red band line shows the true trend average hl2 price since the last significant top within 20 bars.
The lower green band line shows the true trend average low price since the last significant low within 20 bars.
The upper green band line shows the true trend average hl2 price since the last significant low within 20 bars.
The centerline is the average between the upper red band and the lower green band.
The teal lines show 1 standard deviation from the outer bands.
Before today only a few people had access to this indicator, now that it is public and open source, I am curious if you will find it useful and what you will do with it. Please share your findings.
/edit: The chart only shows the 3week timeframe so here are the other two trends from the 2month and 1year timeframe
Expected Move Plotter IntradayHello everyone!
I am releasing my Intra-day expected move plotter indicator.
About the indicator:
This indicator looks at 3 differing time frames, the 15, 30 and 60 minute time frames.
It calculates the average move from high to low over the past 5 candle period and then plots out the expected move based on that average.
It also attempts to determine the sentiment. How it does this is by taking the average of the High, Low and Close of the previous 5 minute candle and comparing it in relation to the close of the current 5 minute candle. It essentially is the premise of pivot points.
Each time frame can be shut off or selected based on your preference, as well as the sentiment fills.
How to use:
Please play around with it and determine how you feel you could best use it, but I can share with you some tips that I have picked up from using this.
Wait for a clear rejection of respect of a level:
Once you have confirmed rejection or support, you can scalp to the next support level:
As well, you can switch between the 30 and 60 minute time frames as reference
30 Minute:
And that's it!
Its a very simplistic indicator, but it is quite helpful to help identify potential areas of reversal.
There really isn't much to it!
Also, it can be used on any stock!
As always, I have provided a quick tutorial video for your reference, linked below:
Let me know if you have any questions or recommendations for modification to make the indicator more useful and helpful.
Thanks so much for checking it out and trying it out everyone!
As always, safe trades and green days!
Mean Reversion DotsMarkets tend to mean revert. This indicator plots a moving average from a higher time frame (type of MA and length selectable by the user). It then calculates standard deviations in two dimensions:
- Standard deviation of move of price away from this moving average
- Standard deviations of number of bars spent in this extended range
The indicator plots a table in the upper right corner with the % of distance of price from the moving average. It then plots 'mean reversion dots' once price has been 1 or more standard deviations away from the moving average for one or more standard deviations number of bars. The dots change color, becoming more intense, the longer the move persists. Optionally, the user can display the standard deviations in movement away from the moving average as channels, and the user can also select which levels of moves they want to see. Opting to see only more extreme moves will result in fewer signals, but signals that are more likely to imminently result in mean reversion back to the moving average.
In my opinion, this indicator is more likely to be useful for indices, futures, commodities, and select larger cap names.
Combinations I have found that work well for SPX are plotting the 30min 21ema on a 5min chart and the daily 21ema on an hourly chart.
In many cases, once mean reversion dots for an extreme enough move (level 1.3 or 2.2 and above) begin to appear, a trade may be initiated from a support/resistance level. A safer way to use these signals is to consider them as a 'heads up' that the move is overextended, and then look for a buy/sell signal from another indicator to initiate a position.
Note: I borrowed the code for the higher timeframe MA from the below indicator. I added the ability to select type of MA.
Ticker vs IndexI was exploring a simple idea how I can visualize the ticker performance against the underlying Index (or any other ticker) performance.
how it works:
When the line is moving up (blue zone), the ticker is performing better than the underlying index (e.g. SPX)(configurable).
When the line is moving down (red zone), the ticker is performing worse than the underlying index.
How to use it:
Use as confirmation always in conjunction with other (main) indicators, avoid "buy" when indicator is in the red zone
Also, crossing over the zero line is often an indication for an upcoming upward move
Try to different SMA length - default is 20 but 10 was often showing better results
(No financial advise, for testing purposes only)
SPX_Strikes_OpcionSigmaThis is a tool to know the strikes to use for Iron Condor.
You can change the colors for the lines.
It uses the VIX to estimate the movement of the SPX index.
ILM CFTC COT Legacy PlotUse this indicator on Daily Timeframe
Please refer to the below link for CFTC Disaggregated COT
www.cftc.gov
This script is very similar to COT Financial Plot indicator except that it plots the data for Futures in Legacy buckets Commercial vs. Non-Commercial
Physics CandlesPhysics Candles embed volume and motion physics directly onto price candles or market internals according to the cyclic pattern of financial securities. The indicator works on both real-time “ticks” and historical data using statistical modeling to highlight when these values, like volume or momentum, is unusual or relatively high for some periodic window in time. Each candle is made out of one or more sub-candles that each contain their own information of motion, which converts to the color and transparency, or brightness, of that particular candle segment. The segments extend throughout the entire candle, both body and wicks, and Thick Wicks can be implemented to see the color coding better. This candle segmentation allows you to see if all the volume or energy is evenly distributed throughout the candle or highly contained in one small portion of it, and how intense these values are compared to similar time periods without going to lower time frames. Candle segmentation can also change a trader’s perspective on how valuable the information is. A “low” volume candle, for instance, could signify high value short-term stopping volume if the volume is all concentrated in one segment.
The Candles are flexible. The physics information embedded on the candles need not be from the same price security or market internal as the chart when using the Physics Source option, and multiple Candles can be overlayed together. You could embed stock price Candles with market volume, market price Candles with stock momentum, market structure with internal acceleration, stock price with stock force, etc. My particular use case is scalping the SPX futures market (ES), whose price action is also dictated by the volume action in the associated cash market, or SPY, as well as a host of other securities. Physics allows you to embed the ES volume on the SPY price action, or the SPY volume on the ES price action, or you can combine them both by overlaying two Candle streams and increasing the Number of Overlays option to two. That option decreases the transparency levels of your coloring scheme so that overlaying multiple Candles converges toward the same visual color intensity as if you had one. The Candle and Physics Sources allows for both Symbols and Spreads to visualize Candle physics from a single ticker or some mathematical transformation of tickers.
Due to certain TradingView programming restrictions, each Candle can only be made out of a maximum of 8 candle segments, or an “8-bit” resolution. Since limits are just an opportunity to go beyond, the user has the option to stack multiple Candle indicators together to further increase the candle resolution. If you don’t want to see the Candles for some particular period of the day, you can hide them, or use the hiding feature to have multiple Candles calibrated to show multiple parts of the trading day. Securities tend to have low volume after hours with sharp spikes at the open or close. Multiple Candles can be used for multiple parts of the trading day to accommodate these different cycles in volume.
The Candles do not need be associated with the nominal security listed on the TV chart. The Candle Source allows the user to look at AAPL Candles, for instance, while on a TSLA or SPY chart, each with their respective volume actions integrated into the candles, for instance, to allow the user to see multiple security price and volume correlation on a single chart.
The physics information currently embeddable on Candles are volume or time, velocity, momentum, acceleration, force, and kinetic energy. In order to apply equations of motion containing a mass variable to financial securities, some analogous value for mass must be assumed. Traders often regard volume or time as inextricable variables to a securities price that can indicate the direction and strength of a move. Since mass is the inextricable variable to calculating the momentum, force, or kinetic energy of motion, the user has the option to assume either time or volume is analogous to mass. Volume may be a better option for mass as it is not strictly dependent on the speed of a security, whereas time is.
Data transformations and outlier statistics are used to color code the intensity of the physics for each candle segment relative to past periodic behavior. A million shares during pre-market or a million shares during noontime may be more intense signals than a typical million shares traded at the open, and should have more intense color signals. To account for a specific cyclic behavior in the market, the user can specify the Window and Cycle Time Frames. The Window Time Frame splits up a Cycle into windows, samples and aggregates the statistics for each window, then compares the current physics values against past values in the same window. Intraday traders may benefit from using a Daily Cycle with a 30-minute Window Time Frame and 1-minute Sample Time Frame. These settings sample and compare the physics of 1-minute candles within the current 30-minute window to the same 30-minute window statistics for all past trading days, up until the data limit imposed by TradingView, or until the Data Collection Start Date specified in the settings. Longer-term traders may benefit from using a Monthly Cycle with a Weekly Time Frame, or a Yearly Cycle with a Quarterly Time Frame.
Multiple statistics and data transformation methods are available to convey relative intensity in different ways for different trading signals. Physics Candles allows for both Normal and Log-Normal assumptions in the physics distribution. The data can then be transformed by Linear, Logarithmic, Z-Score, or Power-Law scoring, where scoring simply assigns an intensity to the relative physics value of each candle segment based on some mathematical transformation. Z-scoring often renders adequate detection by scoring the segment value, such as volume or momentum, according to the mean and standard deviation of the data set in each window of the cycle. Logarithmic or power-law transformation with a gamma below 1 decreases the disparity between intensities so more less-important signals will show up, whereas the power-law transformation with gamma values above 1 increases the disparity between intensities, so less more-important signals will show up. These scores are then converted to color and transparency between the Min Score and the Max Score Cutoffs. The Auto-Normalization feature can automatically pick these cutoffs specific to each window based on the mean and standard deviation of the data set, or the user can manually set them. Physics was developed with novices in mind so that most users could calibrate their own settings by plotting the candle segment distributions directly on the chart and fiddling with the settings to see how different cutoffs capture different portions of the distribution and affect the relative color intensities differently. Security distributions are often skewed with fat-tails, known as kurtosis, where high-volume segments for example, have a higher-probabilities than expected for a normal distribution. These distribution are really log-normal, so that taking the logarithm leads to a standard bell-shaped distribution. Taking the Z-score of the Log-Normal distribution could make the most statistical sense, but color sensitivity is a discretionary preference.
Background Philosophy
This indicator was developed to study and trade the physics of motion in financial securities from a visually intuitive perspective. Newton’s laws of motion are loosely applied to financial motion:
“A body remains at rest, or in motion at a constant speed in a straight line, unless acted upon by a force”.
Financial securities remain at rest, or in motion at constant speed up or down, unless acted upon by the force of traders exchanging securities.
“When a body is acted upon by a force, the time rate of change of its momentum equals the force”.
Momentum is the product of mass and velocity, and force is the product of mass and acceleration. Traders render force on the security through the mass of their trading activity and the acceleration of price movement.
“If two bodies exert forces on each other, these forces have the same magnitude but opposite directions.”
Force arises from the interaction of traders, buyers and sellers. One body of motion, traders’ capitalization, exerts an equal and opposite force on another body of motion, the financial security. A securities movement arises at the expense of a buyer or seller’s capitalization.
Volume
The premise of this indicator assumes that volume, v, is an analogous means of measuring physical mass, m. This premise allows the application of the equations of motion to the movement of financial securities. We know from E=mc^2 that mass has energy. Energy can be used to create motion as kinetic energy. Taking a simple hypothetical example, the interaction of one short seller looking to cover lower and one buyer looking to sell higher exchange shares in a security at an agreed upon price to create volume or mass, and therefore, potential energy. Eventually the short seller will actively cover and buy the security from the previous buyer, moving the security higher, or the buyer will actively sell to the short seller, moving the security lower. The potential energy inherent in the initial consolidation or trading activity between buy and seller is now converted to kinetic energy on the subsequent trading activity that moves the securities price. The more potential energy that is created in the consolidation, the more kinetic energy there is to move price. This is why point and figure traders are said to give price targets based on the level of volatility or size of a consolidation range, or why Gann traders square price and time, as time is roughly proportional to mass and trading activity. The build-up of potential energy between short sellers and buyers in GME or TSLA led to their explosive moves beyond their standard fundamental valuations.
Position
Position, p, is simply the price or value of a financial security or market internal.
Time
Time, t, is another means of measuring mass to discover price behavior beyond the time snapshots that simple candle charts provide. We know from E=mc^2 that time is related to rest mass and energy given the speed of light, c, where time ≈ distance * sqrt(mass/E). This relation can also be derived from F=ma. The more mass there is, the longer it takes to compute the physics of a system. The more energy there is, the shorter it takes to compute the physics of a system. Similarly, more time is required to build a “resting” low-volatility trading consolidation with more mass. More energy added to that trading consolidation by competing buyers and sellers decreases the time it takes to build that same mass. Time is also related to price through velocity.
Velocity = (p(t1) – p(t0)) / p(t0)
Velocity, v, is the relative percent change of a securities price, p, over a period of time, t0 to t1. The period of time is between subsequent candles, and since time is constant between candles within the same timeframe, it is not used to calculate velocity or acceleration. Price moves faster with higher velocity, and slower with slower velocity, over the same fixed period of time. The product of velocity and mass gives momentum.
Momentum = mv
This indicator uses physics definition of momentum, not finance’s. In finance, momentum is defined as the amount of change in a securities price, either relative or absolute. This is definition is unfortunate, pun intended, since a one dollar move in a security from a thousand shares traded between a few traders has the exact same “momentum” as a one dollar move from millions of shares traded between hundreds of traders with everything else equal. If momentum is related to the energy of the move, momentum should consider both the level of activity in a price move, and the amount of that price move. If we equate mass to volume to account for the level of trading activity and use physics definition of momentum as the product of mass and velocity, this revised definition now gives a thousand-times more momentum to a one-dollar price move that has a thousand-times more volume behind it. If you want to use finance’s volume-less definition of momentum, use velocity in this indicator.
Acceleration = v(t1) – v(t0)
Acceleration, a, is the difference between velocities over some period of time, t0 to t1. Positive acceleration is necessary to increase a securities speed in the positive direction, while negative acceleration is necessary to decrease it. Acceleration is related to force by mass.
Force = ma
Force is required to change the speed of a securities valuation. Price movements with considerable force have considerably more impact on future direction. A change in direction requires force.
Kinetic Energy = 0.5mv^2
Kinetic energy is the energy that a financial security gains from the change in its velocity by force. The built-up of potential energy in trading consolidations can be converted to kinetic energy on a breakout from the consolidation.
Cycle Theory and Relativity
Just as the physics of motion is relative to a point of reference, so too should the physics of financial securities be relative to a point of reference. An object moving at a 100 mph towards another object moving in the same direction at 100 mph will not appear to be moving relative to each other, nor will they collide, but from an outsider observer, the objects are going 100 mph and will collide with significant impact if they run into a stationary object relative to the observer. Similarly, trading with a hundred thousand shares at the open when the average volume is a couple million may have a much smaller impact on the price compared to trading a hundred thousand shares pre-market when the average volume is ten thousand shares. The point of reference used in this indicator is the average statistics collected for a given Window Time Frame for every Cycle Time Frame. The physics values are normalized relative to these statistics.
Examples
The main chart of this publication shows the Force Candles for the SPY. An intense force candle is observed pre-market that implicates the directional overtone of the day. The assumption that direction should follow force arises from physical observation. If a large object is accelerating intensely in a particular direction, it may be fair to assume that the object continues its direction for the time being unless acted upon by another force.
The second example shows a similar Force Candle for the SPY that counters the assumption made in the first example and emphasizes the importance of both motion and context. While it’s fair to assume that a heavy highly accelerating object should continue its course, if that object runs into an obstacle, say a brick wall, it’s course may deviate. This example shows SPY running into the 50% retracement wall from the low of Mar 2020, a significant support level noted in literature. The example also conveys Gann’s idea of “lost motion”, where the SPY penetrated the 50% price but did not break through it. A brick wall is not one atom thick and price support is not one tick thick. An object can penetrate only one layer of a wall and not go through it.
The third example shows how Volume Candles can be used to identify scalping opportunities on the SPY and conveys why price behavior is as important as motion and context. It doesn’t take a brick wall to impede direction if you know that the person driving the car tends to forget to feed the cats before they leave. In the chart below, the SPY breaks down to a confluence of the 5-day SMA, 20-day SMA, and an important daily trendline (not shown) after the bullish bounce from the 50% retracement days earlier. High volume candles on the SMA signify stopping volume that reverse price direction. The character of the day changes. Bulls become more aggressive than bears with higher volume on upswings and resistance, whiles bears take on a defensive position with lower volume on downswings and support. High volume stopping candles are seen after rallies, and can tell you when to take profit, get out of a position, or go short. The character change can indicate that its relatively safe to re-enter bullish positions on many major supports, especially given the overarching bullish theme from the large reaction off the 50% retracement level.
The last example emphasizes the importance of relativity. The Volume Candles in the chart below are brightest pre-market even though the open has much higher volume since the pre-market activity is much higher compared to past pre-markets than the open is compared to past opens. Pre-market behavior is a good indicator for the character of the day. These bullish Volume Candles are some of the brightest seen since the bounce off the 50% retracement and indicates that bulls are making a relatively greater attempt to bring the SPY higher at the start of the day.
Infrequently Asked Questions
Where do I start?
The default settings are what I use to scalp the SPY throughout most of the extended trading day, on a one-minute chart using SPY volume. I also overlay another Candle set containing ES future volume on the SPY price structure by setting the Physics Source to ES1! and the Number of Overlays setting to 2 for each Candle stream in order to account for pre- and post-market trading activity better. Since the closing volume is exponential-like up until the end of the regular trading day, adding additional Candle streams with a tighter Window Time Frame (e.g., 2-5 minute) in the last 15 minutes of trading can be beneficial. The Hide feature can allow you to set certain intraday timeframes to hide one Candle set in order to show another Candle set during that time.
How crazy can you get with this indicator?
I hope you can answer this question better. One interesting use case is embedding the velocity of market volume onto an internal market structure. The PCTABOVEVWAP.US is a market statistic that indicates the percent of securities above their VWAP among US stocks and is helpful for determining short term trends in the US market. When securities are rising above their VWAP, the average long is up on the day and a rising PCTABOVEVWAP.US can be viewed as more bullish. When securities are falling below their VWAP, the average short is up on the day and a falling PCTABOVEVWAP.US can be viewed as more bearish. (UPVOL.US - DNVOL.US) / TVOL.US is a “spread” symbol, in TV parlance, that indicates the decimal percent difference between advancing volume and declining volume in the US market, showing the relative flow of volume between stocks that are up on the day, and stocks that are down on the day. Setting PCTABOVEVWAP.US in the Candle Source, (UPVOL.US - DNVOL.US) / TVOL.US in the Physics Source, and selecting the Physics to Velocity will embed the relative velocity of the spread symbol onto the PCTABOVEVWAP.US candles. This can be helpful in seeing short term trends in the US market that have an increasing amount of volume behind them compared to other trends. The chart below shows Volume Candles (top) and these Spread Candles (bottom). The first top at 9:30 and second top at 10:30, the high of the day, break down when the spread candles light up, showing a high velocity volume transfer from up stocks to down stocks.
How do I plot the indicator distribution and why should I even care?
The distribution is visually helpful in seeing how different normalization settings effect the distribution of candle segments. It is also helpful in seeing what physics intensities you want to ignore or show by segmenting part of the distribution within the Min and Max Cutoff values. The intensity of color is proportional to the physics value between the Min and Max Cutoff values, which correspond to the Min and Max Colors in your color scheme. Any physics value outside these Min and Max Cutoffs will be the same as the Min and Max Colors.
Select the Print Windows feature to show the window numbers according to the Cycle Time Frame and Window Time Frame settings. The window numbers are labeled at the start of each window and are candle width in size, so you may need to zoom into to see them. Selecting the Plot Window feature and input the window number of interest to shows the distribution of physics values for that particular window along with some statistics.
A log-normal volume distribution of segmented z-scores is shown below for 30-minute opening of the SPY. The Min and Max Cutoff at the top of the graph contain the part of the distribution whose intensities will be linearly color-coded between the Min and Max Colors of the color scheme. The part of the distribution below the Min Cutoff will be treated as lowest quality signals and set to the Min Color, while the few segments above the Max Cutoff will be treated as the highest quality signals and set to the Max Color.
What do I do if I don’t see anything?
Troubleshooting issues with this indicator can involve checking for error messages shown near the indicator name on the chart or using the Data Validation section to evaluate the statistics and normalization cutoffs. For example, if the Plot Window number is set to a window number that doesn’t exist, an error message will tell you and you won’t see any candles. You can use the Print Windows option to show windows that do exist for you current settings. The auto-normalization cutoff values may be inappropriate for your particular use case and literally cut the candles out of the chart. Try changing the chart time frame to see if they are appropriate for your cycle, sample and window time frames. If you get a “Timeframe passed to the request.security_lower_tf() function must be lower than the timeframe of the main chart” error, this means that the chart timeframe should be increased above the sample time frame. If you get a “Symbol resolve error”, ensure that you have correct symbol or spread in the Candle or Physics Source.
How do I see a relative physics values without cycles?
Set the Window Time Frame to be equal to the Cycle Time Frame. This will aggregate all the statistics into one bucket and show the physics values, such as volume, relative to all the past volumes that TV will allow.
How do I see candles without segmentation?
Segmentation can be very helpful in one context or annoying in another. Segmentation can be removed by setting the candle resolution value to 1.
Notes
I have yet to find a trading platform that consistently provides accurate real-time volume and pricing information, lacking adequate end-user data validation or quality control. I can provide plenty of examples of real-time volume counts or prices provided by TradingView and other platforms that were significantly off from what they should have been when comparing against the exchanges own data, and later retroactively corrected or not corrected at all. Since no indicator can work accurately with inaccurate data, please use at your own discretion.
The first version is a beta version. Debugging and validating code in Pine script is difficult without proper unit testing. Please report any bugs with enough information to reproduce them and indicate why they are important. I also encourage you to export the data from TradingView and verify the calculations for your particular use case.
The indicator works on real-time updates that occur at a higher frequency than the candle time frame, which TV incorrectly refers to as ticks. They use this terminology inaccurately as updates are really aggregated tick data that can take place at different prices and may not accurately reflect the real tick price action. Consequently, this inaccuracy also impacts the real-time segmentation accuracy to some degree. TV does not provide a means of retaining “tick” information, so the higher granularity of information seen real-time will be lost on a disconnect.
TV does not provide time and sales information. The volume and price information collected using the Sample Time Frame is intraday, which provides only part of the picture. Intraday volume is generally 50 to 80% of the end of day volume. Consequently, the daily+ OHLC prices are intraday, and may differ significantly from exchanged settled OHLC prices.
The Cycle and Window Time Frames refer to calendar days and time, not trading days or time. For example, the first window week of a monthly cycle is the first seven days of the month, not the first Monday through Friday of trading for the month.
Chart Time Frames that are higher than the Window Time Frames average the normalized physics for price action that occurred within a given Candle segment. It does not average price action that did not occur.
One of the main performance bottleneck in TradingView’s Pine Script is client-side drawing and plotting. The performance of this indicator can be increased by lowering the resolution (the number of sub-candles this indicator plots), getting a faster computer, or increasing the performance of your computer like plugging your laptop in and eliminating unnecessary processes.
The statistical integrity of this indicator relies on the number of samples collected per sample window in a given cycle. Higher sample counts can be obtained by increasing the chart time frame or upgrading the TradingView plan for a higher bar count. While increasing the chart time frame doesn’t increase the visual number of bars plotted on the chart, it does increase the number of bars that can be pulled at a lower time frame, up to 100,000.
Due to a limitation in Pine Scripts request_lower_tf() function, using a spread symbol will only work for regular trading hours, not extended trading hours.
Ideally, velocity or momentum should be calculated between candle closes. To eliminate the need to deal with price gaps that would lead to an incorrect statistical distributions, momentum is calculated between candle open and closes as a percent change of the price or value, which should not be an issue for most liquid securities.
Williams Vix Fix OHLC candles plot indicator (Tartigradia)OHLC candles plot of the Williams VixFix indicator, which allows to draw trend lines.
Williams VixFix is a realized volatility indicator developed by Larry Williams, and can help in finding market bottoms.
Indeed, as Williams describe in his paper, markets tend to find the lowest prices during times of highest volatility, which usually accompany times of highest fear. The VixFix is calculated as how much the current low price statistically deviates from the maximum within a given look-back period.
The Williams VixFix indicator is usually presented as a curve or histogram. The novelty of this indicator is to present the data as a OHLC candles plot: whereas the original Williams VixFix calculation only involves the close value, we here use the open, high and low values as well. This led to some mathematical challenges because some of these calculations led to absurd values, so workarounds had to be found, but in the end I think the result was worth it, it reproduces the VIX chart quite well.
A great additional value of the OHLC chart is that it shows not just the close value, but all the values during the session: open, high and low in addition to close. This allows to draw trend lines and can provide additional information on momentum and sentiment. In addition, other indicators can be used on it, as if it was a price chart, such as RSI indicators (see RSI+ (alt) indicator for example).
For more information on the Vix Fix, which is a strategy published under public domain:
The VIX Fix, Larry Williams, Active Trader magazine, December 2007, web.archive.org
Fixing the VIX: An Indicator to Beat Fear, Amber Hestla-Barnhart, Journal of Technical Analysis, March 13, 2015, ssrn.com
Replicating the CBOE VIX using a synthetic volatility index trading algorithm, Dayne Cary and Gary van Vuuren, Cogent Economics & Finance, Volume 7, 2019, Issue 1, doi.org
This indicator includes only the Williams VixFix as an OHLC candles or bars plot, and price / vixfix candles plot, as well as the typical vixfix histogram. Indeed, it is much more practical for unbounded range indicators to be plotted in their own separate panel, hence why this indicator is released separately, so that it can work and be scaled adequately out of the box.
Note that the there are however no bottom buy signals. For a more complete indicator, which also includes the OHLC candles plots present here, but also bottom signals and Inverse VixFix (top signals), see:
Set Index symbol to SPX, and index_current = false, and timeframe Weekly, to reproduce the original VIX as close as possible by the VIXFIX (use the Add Symbol option, because you want to plot CBOE:VIX on the same timeframe as the current chart, which may include extended session / weekends). With the Weekly timeframe, off days / extended session days should not change much, but with lower timeframes this is important, because nights and weekends can change how the graph appears and seemingly make them different because of timing misalignment when in reality they are not when properly aligned.
Convert ETF to Futures/IndexThis indicator is used to automatically map an ETF's VWAP and 10 levels above and below the strike of your choice, to the futures or index instrument currently being viewed/traded. This works very well when using both SPY to ES/MES/SPX or QQQ to NQ/MNQ/NDX to plot the ETF strikes and can lead to some incredible trades, especially when trading level to level. Since SPY, QQQ, IWM, and DIA have the same price action as their futures iteration, there seems to be a direct correlation between their levels and VWAP . This indicator is made to easily map these key levels to the appropriate futures instrument. If you have a way to measure GEX centered around a certain level, I recommend color coding the lines to help indicate whether the level will have strong positive or negative gamma hedging associated with it.
Seasonality - Session Performance - Morning Afternoon EveningUse this indicator on Intraday Timeframe. Higher the timeframe, more the data
This script calculates the performance of an instrument for different sessions.
Session inputs can be updated to study performance of
- Morning vs Afternoon vs Evening
- Pre-Market vs Market vs Post-Market (provided the data feed supports pre and post market)
- Overnight vs Intraday
Three session inputs are provided to tweak the session range
Performance is calculated as session close / session open - 1
Session timeframes can be set for various countries. Make sure the session timeframe aligns with the Candle open/close for the timeframe you choose. Some examples below
US Markets: 0930-1130 1130-1430 1430-1630 Timeframe 1 hour
India Markets: 0915-1030 1030-1415 1415-15:30 Timeframe 75min
Seasonality Overnight Gaps - Tabular Form Use this indicator on Daily Timeframe
This script calculates the overnight gaps above a specific threshold (that can be set through input parameters) and displays the data in a tabular form with Year in the rows and the day of the week in the columns.
Also a summary row is displayed at the bottom for day of the week.
Detailed Gap info is displayed as tooltip for the cell data
Gap - Open should be outside the previous day's Open and Close
Gap % - open/prev. close - 1 if Gap is there
ILM Overnight vs Intraday Performance - Tabular FormUse this indicator on Daily Timeframe
This script compares Overnight vs Intraday Performance based on the Day of the Week (DOW) - Sun - Sat of index/stock/currency/commodity symbols.
ON column indicates Overnight performance = open/close -1
ID column indicates Intraday performance = close-open/1
The calculations are detailed in the tooltips of the individual table cells.
